Seminar by Dr Jérôme Kunegis: "Observing the Web: The Koblenz Network Collection"

PG 22, Talbot Campus, BU, 23/10/2013 14:00

Dr. Jérôme Kunegis is a postdoctoral researcher at the Institute for Web Science and Technologies (WeST) at the University of Koblenz–Landau, Germany, and currently a visiting postdoctoral research at the University of Cambridge's Computer Lab. He is the lead of the focus group on network analysis at the WeST Institute, as well as of the Koblenz Network collection project (KONECT), a large-scale effort to assemble network datasets for use in web science, network science and other disciplines. Dr. Kunegis has written over 30 peer-reviewed papers in the areas of web science, network analysis, data mining, machine learning and information retrieval. He graduated at the Berlin Institute of Technology (TU Berlin) in 2006, and received his PhD at the University of Koblenz–Landau in 2011 for his work on the spectral evolution model under the supervision of Prof. Steffen Staab.

Abstract: This talk presents the Koblenz Network Collection (KONECT), a project to collect network datasets in the areas of web science, network science and related areas, as well as provide tools for their analysis.  In the cited areas, a surprisingly large number of very heterogeneous data can be modeled as networks and consequently, a unified representation of networks can be used to gain insight into many kinds of problems. Due to the emergence of the World Wide Web in the last decades many such datasets are now openly available.  The KONECT project thus has the goal of collecting many diverse network datasets from the Web, and providing a way for their systematic study.  The main parts of KONECT are (1) a collection of over 160 network datasets, consisting of directed, undirected, unipartite, bipartite, weighted, unweighted, signed and temporal networks collected from the Web, (2) a Matlab toolbox for network analysis and (3) a website giving a compact overview the various computed statistics and plots.  In this talk, I describe KONECT's taxonomy of networks datasets, give an overview of the datasets included, review the supported statistics and plots, and briefly discuss KONECT's role in the area of web science and network science.